2023W

• Bachelor Thesis / 193.136 / PR
• Information Visualization / 188.308 / UE
• Information Visualization / 188.305 / VO
• Project in Computer Science 2 / 193.118 / PR
• Project in Medical Informatics / 193.025 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Project Media and Human-Centered Computing 1 / 193.021 / PR
• Project Media and Human-Centered Computing 2 / 193.022 / PR
• Seminar Media and Human-Centered Computing Information Visualization, Visual Analytics, and Information Design / 193.063 / SE
• Seminar on Medical Informatics / 188.948 / SE

• A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics / Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics. arXiv. https://doi.org/10.34726/5043
  Download: PDF (2.16 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2024)
• Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies / Filipov, V., Arleo, A., & Miksch, S. (2023, June 14). Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies [Conference Presentation]. EuroVis 2023: 25th EG Conference on Visualization, Leipzig, Germany. http://hdl.handle.net/20.500.12708/187156
  Download: Presentation Slides (2.3 MB)
  Project: ArtVis (2022–2025)
• Visual Exploration of Financial Data with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Leite, R. A., Dustdar, S., Miksch, S., & Sorger, J. (2023). Visual Exploration of Financial Data with Incremental Domain Knowledge. Computer Graphics Forum, 42(1), 101–116. https://doi.org/10.1111/cgf.14723
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  Project: EDENSPACE (2019–2022)
• Visual exploration of financial data with incremental domain knowledge / Arleo, A., Tsigkanos, C., Almeida Leite, R., Dustdar, S., Miksch, S., & Sorger, J. (2023). Visual exploration of financial data with incremental domain knowledge [Conference Presentation]. EuroVis 2023: 25th EG Conference on Visualization, Leipzig, Germany. https://doi.org/10.1111/cgf.14723
  Download: Talk Slides (420 MB)
• Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies / Filipov, V., Arleo, A., & Miksch, S. (2023). Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies. Computer Graphics Forum. https://doi.org/10.1111/cgf.14794
  Download: Online First Version (1.99 MB)
  Projects: ArtVis (2022–2025) / KnoVA (2018–2022)
• On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings / Filipov, V., Arleo, A., Bögl, M., & Miksch, S. (2023). On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings. In P. Angelini & R. von Hanxleden (Eds.), Graph Drawing and Network Visualization (pp. 271–288). Springer Cham. https://doi.org/10.1007/978-3-031-22203-0_20
  Project: ArtVis (2022–2025)
• Event‐based Dynamic Graph Drawing without the Agonizing Pain / Arleo, A., Miksch, S., & Archambault, D. (2022). Event‐based Dynamic Graph Drawing without the Agonizing Pain. Computer Graphics Forum. https://doi.org/10.1111/cgf.14615
  Download: Fulltext (1.92 MB)
• Influence Maximization with Visual Analytics / Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2022). Influence Maximization with Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(10), 3428–3440. https://doi.org/10.1109/TVCG.2022.3190623
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• Visualization for Healthcare in the Covid-19 Era / Arleo, A. (2022, September 20). Visualization for Healthcare in the Covid-19 Era [Presentation]. Bio+Med+Vis Summer School, Brno, Czechia. http://hdl.handle.net/20.500.12708/136169
  Download: Presentation (102 MB)
• Influence Maximization With Visual Analytics / Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2022, July 13). Influence Maximization With Visual Analytics [Conference Presentation]. IEEE Visualization & Visual Analytics (VIS 2023), Melbourne, Australia. http://hdl.handle.net/20.500.12708/189760
• Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2022, June 14). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics [Conference Presentation]. EuroVis 2022, Rom, Italy. https://doi.org/10.1109/TVCG.2021.3094870
  Download: Presentation Slides (2.48 MB)
  Projects: DoRIAH (2020–2024) / GuidedVA (2020–2024) / KnoVA (2018–2022)
• Egocentric Network Exploration for Immersive Analytics / Sorger, J., Arleo, A., Kan, P., Knecht, W., & Waldner, M. (2021). Egocentric Network Exploration for Immersive Analytics. In Computer Graphics Forum (pp. 241–252). John Wiley and Sons. https://doi.org/10.1111/cgf.14417
• Exploratory User Study on Graph Temporal Encodings / Filipov, V., Arleo, A., & Miksch, S. (2021). Exploratory User Study on Graph Temporal Encodings. In 2021 IEEE 14th Pacific Visualization Symposium (PacificVis). 14th Pacific Visualization Symposium (PacificVis 2021), Tianjin, China. IEEE 14th Pacific Visualization Symposium (PacificVis). https://doi.org/10.1109/pacificvis52677.2021.00025
• Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2021). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4570–4581. https://doi.org/10.1109/tvcg.2021.3094870
• A Multilevel Approach for Event-Based Dynamic Graph Drawing / Arleo, A., Miksch, S., & Archambault, D. (2021). A Multilevel Approach for Event-Based Dynamic Graph Drawing. In M. Agus, C. Garth, & A. Kerren (Eds.), EuroVis 2021 - Short Papers (p. 5). Eurographics Association. https://doi.org/10.2312/evs.20211063
• Hermes: Guidance-enriched Visual Analytics for Economic Network Exploration / A. Leite, R., Arleo, A., Sorger, J., Gschwandtner, T., & Miksch, S. (2020). Hermes: Guidance-enriched Visual Analytics for Economic Network Exploration. Visual Informatics, 4(4), 11–22. https://doi.org/10.1016/j.visinf.2020.09.006
• VAIM: Visual Analytics for Influence Maximization / Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2020). VAIM: Visual Analytics for Influence Maximization. In Lecture Notes in Computer Science (pp. 115–123). Springer LNCS. https://doi.org/10.1007/978-3-030-68766-3_9
• Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Jia, C., Leite, R. A., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge (1908.07479). arXiv. https://doi.org/10.48550/arXiv.1908.07479
• CV3: Visual Exploration, Assessment, and Comparison of CVs / Filipov, V., Arleo, A., Miksch, S., & Federico, P. (2019). CV3: Visual Exploration, Assessment, and Comparison of CVs. Computer Graphics Forum, 38(3), 107–118. https://doi.org/10.1111/cgf.13675
  Projects: IMMV (2017–2020) / Space-Time Cube (2016–2019)
• Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Jia, C., Almeida Leite, R., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge. In 2019 IEEE Visualization Conference (VIS). 2019 IEEE Visualization Conference (VIS), Vancouver, British Columbia, Canada, Non-EU. IEEE. https://doi.org/10.1109/visual.2019.8933598
• Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, M., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality (p. 9). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/57963
• Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, W., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality. Ieee Aivr 2019, San Diego, California, USA, Non-EU. http://hdl.handle.net/20.500.12708/57887
• How Do Firms Transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability / Tsigkanos, C., Arleo, A., Sorger, J., & Dustdar, S. (2019). How Do Firms Transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability. In 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI). IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI 2019), Los Angeles, California, USA, Non-EU. IEEE. https://doi.org/10.1109/iri.2019.00017
• The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics / Filipov, V., Ceneda, D., Koller, M., Arleo, A., & Miksch, S. (2018). The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics. VISCOMM 2018, Berlin, Deutschland, EU. http://hdl.handle.net/20.500.12708/86757

• Interactive web-based visualization of large dynamic graphs / Reisacher, M. (2020). Interactive web-based visualization of large dynamic graphs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.73704
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